We hypothesize: successful prediction of the answer by just looking at the answer modality for SocialIQ data is due to sentiment-biased annotations. To validate this hypothesis, we use an off-the-shelf sentiment classifier from the NLTK package [1]}. When applied to SocialIQ without any training, we obtain a remarkable answer prediction accuracy of 66.7%. This matches our reported result of 68.65% quite reasonably and outperforms the SocialIQ baseline [2]}.
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